{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "from scipy.stats import pearsonr\n",
    "from adjustText import adjust_text\n",
    "from scipy import stats\n",
    "from mpl_toolkits.axes_grid1.inset_locator import mark_inset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "excluded_iso3_codes = [\n",
    "    \"IRL\",  # Ireland\n",
    "    \"SSD\",  # South Sudan\n",
    "    \"SDN\",  # Sudan\n",
    "    \"COG\",  # Republic of the Congo\n",
    "    \"COD\",  # Democratic Republic of the Congo\n",
    "    \"GIN\",  # Guinea\n",
    "    \"GNB\",  # Guinea-Bissau\n",
    "    \"GNQ\",  # Equatorial Guinea\n",
    "    \"PNG\",  # Papua New Guinea\n",
    "    \"XKX\",  # Kosovo (unofficial)\n",
    "    \"MNE\",  # Montenegro\n",
    "    \"SRB\",  # Serbia\n",
    "    \"TLS\"   # Timor-Leste\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "pop_df=pd.read_csv(r'C:\\Users\\Yasaman\\Downloads\\World_bank_population.csv',skiprows=3)\n",
    "pop_df=pop_df[['Country Code','2003','2019']].dropna()\n",
    "pop_df['2019']=pop_df['2019'].astype(int)\n",
    "possible_countries=pop_df.query(\" `2019` >=1000000\")['Country Code'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "possible_iso=list(set(possible_countries)-set(excluded_iso3_codes))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Yasaman\\AppData\\Local\\Temp\\ipykernel_17864\\2494405923.py:9: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  selected_df['average_gdp_pc'] = selected_df[average_columns].mean(axis=1, skipna=True)\n"
     ]
    }
   ],
   "source": [
    "country_df=pd.read_csv(r\"C:\\Users\\Yasaman\\Downloads\\World_bank_GDP_per_capita.csv\",skiprows=4)\n",
    "\n",
    "columns =[country_df.columns[1]]+list(np.arange(2002, 2020, 1).astype(str))   # Convert year numbers to strings if columns are named as strings\n",
    "selected_df = country_df[columns]  # Select the columns\n",
    "# Generate the list of column names\n",
    "average_columns = np.arange(2002, 2020, 1).astype(str)\n",
    "\n",
    "# Calculate the row-wise average, ignoring NaN values\n",
    "selected_df['average_gdp_pc'] = selected_df[average_columns].mean(axis=1, skipna=True)\n",
    "\n",
    "\n",
    "\n",
    "selected_df=selected_df[[country_df.columns[1],'average_gdp_pc']]\n",
    "#selected_df['Country Code']=selected_df['Country Code'].apply(lambda x:x.lower())\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "Country_list={'Egypt':'EGY', 'Tunisia':'TUN','Libya':'LBY','Syria':'SYR','Yemen':'YEM','Bahrain':'BHR','Jordan':'JOR','Kuwait':'KWT','Morocco':'MAR','Oman':'OMN'}\n",
    "rev_Country_list={Country_list[key]: key for key in Country_list}\n",
    "abbr=[country for country in Country_list.values()]\n",
    "c_list=list(Country_list.values())\n",
    "years=np.arange(2002, 2020, 1)\n",
    "df=pd.read_csv(r\"C:\\Users\\Yasaman\\Arab_spring_scholarly_attention\\Data\\Migration\\scopus_2024_V1_scholarlymigration_countryflows_enriched_new.csv\")\n",
    "df=df[df['year'].isin(years)].reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "filtered_df=df[(df['iso3codefrom'].isin(abbr))&(df['iso3codefrom']!=df['iso3codeto'])]\n",
    "\n",
    "before_df=filtered_df[filtered_df['year'].isin(np.arange(2002, 2011, 1))].groupby(by=['iso3codefrom','iso3codeto'])['n_migrations'].sum().reset_index()[['n_migrations','iso3codefrom','iso3codeto']].rename(columns={'n_migrations':'count_before'})\n",
    "after_df=filtered_df[filtered_df['year'].isin(np.arange(2011, 2020, 1))].groupby(by=['iso3codefrom','iso3codeto'])['n_migrations'].sum().reset_index()[['n_migrations','iso3codefrom','iso3codeto']].rename(columns={'n_migrations':'count_after'})\n",
    "compare_df=before_df.merge(after_df, how='outer', on=['iso3codefrom','iso3codeto']).fillna(0)\n",
    "compare_df['count_after']/=9\n",
    "compare_df['count_before']/=9\n",
    "\n",
    "compare_df=compare_df.groupby(['iso3codeto'])[['count_before', 'count_after']].sum().reset_index()\n",
    "compare_df['difference']=compare_df['count_after']-compare_df['count_before']\n",
    "compare_df=compare_df.sort_values('difference', ascending=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "country_df=selected_df.merge(compare_df, left_on='Country Code', right_on='iso3codeto', how='left').dropna(subset=['iso3codeto'])\n",
    "country_df=country_df[country_df['iso3codeto'].isin(possible_iso)]\n",
    "\n",
    "\n",
    "country_codes=pd.read_csv(r\"C:\\Users\\Yasaman\\Downloads\\iso3.csv\")\n",
    "country_codes['iso3']=[c for c in country_codes['iso3']]\n",
    "map={country_codes.iloc[c]['iso3']: country_codes.iloc[c]['name'] for c in range(len(country_codes))}\n",
    "map['IRN']='Iran'\n",
    "map['USA']='USA'\n",
    "map['GBR']='UK'\n",
    "map['RUS']='Russia'\n",
    "map['SYR']='Syria'\n",
    "map['ARE']='UAE'\n",
    "\n",
    "map['HKG']='Hong Kong'\n",
    "plot_a_df=country_df.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ARE\n",
      "AUS\n",
      "AUT\n",
      "BEL\n",
      "CAN\n",
      "CHE\n",
      "DEU\n",
      "DNK\n",
      "FIN\n",
      "FRA\n",
      "GBR\n",
      "HKG\n",
      "JPN\n",
      "KWT\n",
      "NLD\n",
      "NOR\n",
      "QAT\n",
      "SAU\n",
      "SGP\n",
      "SWE\n",
      "USA\n",
      "Pearson Correlation Coefficient: 0.16513795652078453\n",
      "P-value: 0.07027858580892632\n",
      "Spearman Correlation Coefficient: 0.332570871238667\n",
      "P-value: 0.00019379414228065447\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1=plt.subplots(nrows=1, ncols=1)\n",
    "ins = ax1.inset_axes([0.5,0.61,0.45,0.35])\n",
    "\n",
    "\n",
    "sns.regplot(plot_a_df, x='average_gdp_pc', y='difference' ,marker=\"x\", color=\".2\", line_kws=dict(color=\"#7DE1DF\"),ax=ax1,  scatter_kws={\"zorder\":10}, robust=True)\n",
    "ax1.set_ylabel(r'$\\Delta M^i_*$', fontsize=18)\n",
    "ax1.set_xlabel('Average GDP per capita', fontsize=18)\n",
    "\n",
    "\n",
    "sns.regplot(plot_a_df, x='average_gdp_pc', y='difference' ,marker=\"x\", color=\".2\", line_kws=dict(color=\"#7DE1DF\"),ax=ins,  scatter_kws={\"zorder\":10}, robust=True)\n",
    "ins.set_ylabel(r'', fontsize=10)\n",
    "ins.set_xlabel(r'', fontsize=10)\n",
    "ins.set_xlim(0, 10000)\n",
    "ins.set_ylim(-15/8, 20)\n",
    "\n",
    "\n",
    "points=[]\n",
    "# Annotate each point\n",
    "for line in plot_a_df[(plot_a_df['difference']>50)|(plot_a_df['average_gdp_pc']>35000)].index:\n",
    "\n",
    "    x = plot_a_df.average_gdp_pc[line]\n",
    "    y = plot_a_df.difference[line]\n",
    "    label =map[plot_a_df.iso3codeto[line]]\n",
    "    print(plot_a_df.iso3codeto[line])\n",
    "    points+=[ax1.text(x, y, label,\n",
    "                    fontsize=8, ha='center', va='center')]\n",
    "    \n",
    "adjust_text(points, arrowprops=dict(arrowstyle=\"-\", color='k', lw=0.5, alpha=.5), expand=(1.5, 2.5), ax=ax1)        \n",
    "\n",
    "\n",
    "points2=[]\n",
    "# Annotate each point\n",
    "for line in plot_a_df[(plot_a_df['difference']>5)&(plot_a_df['average_gdp_pc']<10000)].index:\n",
    "\n",
    "    x = plot_a_df.average_gdp_pc[line]\n",
    "    y = plot_a_df.difference[line]\n",
    "    label =map[plot_a_df.iso3codeto[line]]\n",
    "    points2+=[ins.text(x, y, label,\n",
    "                    fontsize=8, ha='center', va='center')]\n",
    "    \n",
    "adjust_text(points2, arrowprops=dict(arrowstyle=\"-\", color='k', lw=0.5, alpha=.5), expand=(1.5, 2), ax=ins)        \n",
    "\n",
    "correlation_coefficient, p_value = pearsonr(plot_a_df['difference'], plot_a_df['average_gdp_pc'])\n",
    "print(\"Pearson Correlation Coefficient:\", correlation_coefficient)\n",
    "print(\"P-value:\", p_value)\n",
    "\n",
    "correlation_coefficient, p_value = stats.spearmanr(plot_a_df['difference'], plot_a_df['average_gdp_pc'])\n",
    "print(\"Spearman Correlation Coefficient:\", correlation_coefficient)\n",
    "print(\"P-value:\", p_value)\n",
    "\n",
    "mark_inset(ax1, ins, loc1=2, loc2=4, fc=\"none\", ec=\"0.5\", linestyle=':')\n",
    "\n",
    "fig.savefig('migration_vs_gdp.pdf', bbox_inches='tight')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
